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AG Grid VS Apache Solr

Compare AG Grid VS Apache Solr and see what are their differences

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AG Grid logo AG Grid

The best HTML5 datagrid in the world

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • AG Grid Landing page
    Landing page //
    2023-08-02
  • Apache Solr Landing page
    Landing page //
    2023-04-28

AG Grid features and specs

  • Highly Customizable
    AG Grid provides extensive customization options to tailor the grid's appearance and behavior, allowing developers to adjust the grid according to specific project requirements.
  • Rich Feature Set
    It offers a comprehensive set of features including filtering, sorting, grouping, and pivoting, which can cater to complex data visualization needs.
  • Performance
    AG Grid is optimized for handling large datasets efficiently, providing smooth scrolling and quick data operations without significant lag.
  • Wide Range of Integrations
    It supports integration with major frontend frameworks like Angular, React, and Vue, enabling seamless incorporation into diverse tech stacks.
  • Community and Enterprise Editions
    AG Grid offers both free and paid versions, allowing users to choose based on budget and feature requirements, with enterprise options including additional advanced features.

Possible disadvantages of AG Grid

  • Complexity
    Due to its extensive feature set, AG Grid has a steep learning curve, which can be overwhelming for beginners.
  • Size
    The library can be quite large, potentially affecting the initial load time of applications that require quick startup performance.
  • Cost for Enterprise Features
    To access the most advanced features, users need to purchase the enterprise version, which may not be feasible for small projects or teams with limited budgets.
  • Overhead for Simple Use Cases
    For projects that require only basic grid functionalities, AG Grid might be overkill, leading to unnecessary complexity and resource usage.
  • Documentation Depth
    While documentation is generally comprehensive, it can sometimes lack depth in explaining specific use cases or advanced customization, requiring additional time for exploration and experimentation.

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

AG Grid videos

+ Add

ag-Grid Conf 2018 | Complexity and Performance | Niall Crosby

More videos:

  • Review - All about ag-grid in angular 6
  • Review - Track 1 Day 2 Livestream | AngularConnect 2019 | Sponsored by ag-Grid

Apache Solr videos

+ Add

Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Category Popularity

0-100% (relative to AG Grid and Apache Solr)

AG Grid

Apache Solr

Data Grid
100 100%
Data Grid
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Design Tools
100 100%
Design Tools
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using AG Grid and Apache Solr. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare AG Grid and Apache Solr

AG Grid Reviews

Using AG Grid in React: Guide and alternatives
In this guide, we introduced the basic functionalities of the ag-grid-react library and demonstrated how to use AG Grid to build and style a data grid in a React app. To compare alternatives to AG Grid, also built a similar data grid in TanStack Table, Glide Data Grid, and MUI Data Grid. Each library has a unique set of features and tradeoffs, so it’s important to choose the...
Source: blog.logrocket.com
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
The "AG" in AG Grid stands for "Agnostic Grid," which means that the library works in multiple JavaScript Frameworks besides React. On the same note, though, AG Grid does not use Material UI under the hood like all of the other libraries on this list. However, it does stick very close to Material Design, so it will not stick out too far from the rest of the components in...
Source: www.material-react-table.com
Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
AG Grid calls itself the best JavaScript library for creating data tables, and for good reason. Major highlights of the library include its excellent performance, no dependency on third-party libraries, and smooth integration with all the major JavaScript frameworks such as Angular, React, and Vue.js. This goes without saying, but you can also use the library with plain...
Source: code.tutsplus.com

Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
Source: influencermarketinghub.com
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
If you’re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Social recommendations and mentions

Based on our record, Apache Solr should be more popular than AG Grid. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AG Grid mentions (10)

  • My Failed Student Housing App
    I made extensive use of AG Grid. There are LiveView hooks and whatnot showing how I loaded data, and stylized different types like bools, links, and status. - Source: dev.to / about 1 year ago
  • Supporting Circularly Referenced Mapped Types in Typescript
    In the remainder of this post I will share how I resolved this error for a type called NestedFieldPaths that is a key part of the AG Grid library. - Source: dev.to / over 1 year ago
  • Generate array of all an interface's keys with Typescript
    When working with a large and complex code base like AG Grid it is very easy to miss updating certain parts of the code base. - Source: dev.to / about 2 years ago
  • Does Angular Support Generic Component Types?
    To give a concrete example of the breakdown in inference we can look at the ag-grid-angular component from AG Grid. This component is generic with respect to row data. It is defined in the following way with many properties omitted for brevity. - Source: dev.to / over 2 years ago
  • Write Typescript in the browser with SystemJs
    Yes, this does require you to get your SystemJs config setup right but that is why I am sharing this starter that I used for our AG Grid demos so that you can get started easily. - Source: dev.to / over 3 years ago
View more

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / 10 months ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / 10 months ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / over 1 year ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 2 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 2 years ago
View more

What are some alternatives?

When comparing AG Grid and Apache Solr, you can also consider the following products

Handsontable - JavaScript Spreadsheet

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Bryntum - High performance web components for SaaS apps - including Gantt, Scheduler, Grid, Calendar and Kanban widgets. Seamless integration with React, Vue, Angular or plain JS apps.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

TanStack Table - Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue

Typesense - Typo tolerant, delightfully simple, open source search 🔍

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